Brainstat Made by School of Computing Lecturer Obtained Adi Cipta Tata Wahana Nusantara Award
The innovation product of the School of Computing won the Adi Cipta Tata Wahana Nusantara Award in the 2016 National Level Transportation Research Competition held by the Ministry of Transportation on Wednesday (10/27/2016). This award was given directly by the Minister of Transportation, Budi Karya Sumadi.
That was Dody Qory Utama, one of the School of Computing lecturers who received the award.
Dody and friends outperformed the other team through Brainstat. Brainstat is a brain signal monitoring application to prevent human error of transportation accidents. This application will capture brain signals and map brain waves to then be transmitted to apps on smartphones.
Brainstat research has been conducted since 2010 with Dody as the leading researcher and a brain specialist named Dr. Tauhid Nur Azhar. Finally, in 2015, this application was completed.
Here are the winners from each category (source: www.dephub.go.id)
The category of High School / Bachelor Winners of the 2016 National Level Transportation Research Competition are:
1. Andri Bharata Hutapea (Jakarta)
Research title: prediction of aircraft trajectory based on ADS-B data as an ATC decision-making system to prevent aircraft crashes.
2. Sorfian (Pontianak)
Title of research: design a prototype wind shear tailwind and crosswind early warning system for take-off and landing aircraft safety.
3. Reza Aulia Akbar (Surabaya)
Title of research: innovation optimization of winglet systems with an adaptive angle on commercial aircraft to improve flight performance and avtur efficiency in realizing economical, safe, and comfortable flights in Indonesia.
Whereas for the Masters / Doctoral categories, the winners of the 2016 National Transportation Research Competition are:
1. Dody Qory Utama (Jakarta)
Research title: Prevention of transportation accidents by monitoring brain signals using Brainstat.
2. Henny Harumi (Medan)
Title of research: Innovation to optimize the mobile-based integrated ramp checking system in determining aircraft readiness in improving safety, passenger safety, and minimizing flight accidents.
3. Evi Septiana Pane (Surabaya)
Research title: Automatic detection of sharp objects on baggage x-ray images with a computer vision approach.
